[HTML][HTML] A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
A systematic review of artificial intelligence (AI) based approaches for the diagnosis of Parkinson's disease
Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects the elderly
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …
[HTML][HTML] Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI
Neuromelanin sensitive magnetic resonance imaging (NMS-MRI) has been crucial in
identifying abnormalities in the substantia nigra pars compacta (SNc) in Parkinson's disease …
identifying abnormalities in the substantia nigra pars compacta (SNc) in Parkinson's disease …
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease
Background and objectives Parkinson's Disease (PD) is a devastating chronic neurological
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
A survey on computer-assisted Parkinson's disease diagnosis
Background and objective In this work, we present a systematic review concerning the
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …
[HTML][HTML] Gray matter, white matter and cerebrospinal fluid abnormalities in Parkinson's disease: A voxel-based morphometry study
CO Nyatega, L Qiang, MJ Adamu… - Frontiers in Psychiatry, 2022 - frontiersin.org
Background Parkinson's disease (PD) is a chronic neurodegenerative disorder
characterized by bradykinesia, tremor, and rigidity among other symptoms. With a 70 …
characterized by bradykinesia, tremor, and rigidity among other symptoms. With a 70 …
Diagnosis of Parkinson's disease using deep CNN with transfer learning and data augmentation
S Kaur, H Aggarwal, R Rani - Multimedia Tools and Applications, 2021 - Springer
Parkinson's disease (PD) is one of the main types of neurological disorders affected by
progressive brain degeneration. Early detection and prior care may help patients to improve …
progressive brain degeneration. Early detection and prior care may help patients to improve …
A review on Alzheimer's disease classification from normal controls and mild cognitive impairment using structural MR images
Alzheimer's disease (AD) is an irreversible neurodegenerative brain disorder that degrades
the memory and cognitive ability in elderly people. The main reason for memory loss and …
the memory and cognitive ability in elderly people. The main reason for memory loss and …
A comparative study of existing machine learning approaches for Parkinson's disease detection
G Pahuja, TN Nagabhushan - IETE Journal of Research, 2021 - Taylor & Francis
Parkinson's disease (PD) has affected millions of people worldwide and is more prevalent in
people, over the age of 50. Even today, with many technologies and advancements, early …
people, over the age of 50. Even today, with many technologies and advancements, early …
[HTML][HTML] An ensemble of CNN models for Parkinson's disease detection using DaTscan images
Parkinson's Disease (PD) is a progressive central nervous system disorder that is caused
due to the neural degeneration mainly in the substantia nigra in the brain. It is responsible …
due to the neural degeneration mainly in the substantia nigra in the brain. It is responsible …